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Cristina Rubio-Escudero
Publications
- 2023
- [j18]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
Identifying novelties and anomalies for incremental learning in streaming time series forecasting. Eng. Appl. Artif. Intell. 123(Part B): 106326 (2023) - [j17]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series. Inf. Fusion 95: 163-173 (2023) - 2022
- [j15]Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero:
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture. Neurocomputing 500: 268-278 (2022) - [c26]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
Nearest neighbors with incremental learning for real-time forecasting of electricity demand. ICDM (Workshops) 2022: 1-8 - 2021
- [j14]José L. Amaro-Mellado, Laura Melgar-García, Cristina Rubio-Escudero, David Gutiérrez-Avilés:
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach. Comput. Geosci. 150: 104736 (2021) - [j13]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach. Inf. Sci. 558: 174-193 (2021) - [c25]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso Lora:
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming. CAEPIA 2021: 185-195 - 2020
- [j10]Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso Lora:
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8(4): 308-322 (2020) - [c23]Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
High-content screening images streaming analysis using the STriGen methodology. SAC 2020: 537-539 - [c22]Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero:
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. SOCO 2020: 226-236 - [i1]Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso:
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR abs/2003.13633 (2020) - 2018
- [j9]David Gutiérrez-Avilés, Raúl Giráldez, Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero:
TRIQ: a new method to evaluate triclusters. BioData Min. 11(1): 15:1-15:29 (2018) - 2016
- [c17]David Gutiérrez-Avilés, Cristina Rubio-Escudero:
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms. HAIS 2016: 673-684 - 2015
- [j7]Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero:
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula. Entropy 17(7): 5000-5021 (2015) - 2014
- [j6]David Gutiérrez-Avilés, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, José C. Riquelme:
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing 132: 42-53 (2014) - [c16]David Gutiérrez-Avilés, Cristina Rubio-Escudero:
LSL: A new measure to evaluate triclusters. BIBM 2014: 30-37 - 2011
- [c15]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm. CAEPIA 2011: 155-163 - [c13]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Triclustering on temporary microarray data using the TriGen algorithm. ISDA 2011: 877-881 - [c11]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Revisiting the yeast cell cycle problem with the improved TriGen algorithm. NaBIC 2011: 515-520
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